library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
Alfeld <- sunrise.set(51.9833333,9.8333333, "2024/01/01", timezone="MET", num.days=370)
sunrise <- Alfeld$sunrise
sunset <- Alfeld$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
Alfeld["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
Alfeld["ss"] <- as.POSIXct(sunset, format = "%H:%M")
Alfeld["timestamp"] <- align.time(Alfeld$sunrise, 60*10)
Alfeld <- Alfeld[c("timestamp", "sr", "ss")]
locsrss <- ggplot(Alfeld, aes(x=Alfeld$timestamp)) + geom_line(aes(y=Alfeld$sr)) + geom_line(aes(y=Alfeld$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - Alfeld 2024", x = "Datum", y = "Zeit")
pdf("Alfeld_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="Alfeld_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
Alfeld["Sonnenaufgang"] <- strftime(Alfeld$sr, format="%H:%M")
Alfeld["Sonnenuntergang"] <- strftime(Alfeld$ss, format="%H:%M")
write.table(Alfeld, file="Alfeld_SaSu.csv", dec=',', sep=';', row.names=FALSE)